/* Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License. */

#include "paddle/fluid/inference/tensorrt/convert/op_converter.h"

namespace paddle::inference::tensorrt {

class CastOpConverter : public OpConverter {
 public:
  void operator()(const framework::proto::OpDesc& op,
                  const framework::Scope& scope,
                  bool test_mode) override {
    VLOG(3) << "convert a cast op to tensorrt";
    framework::OpDesc op_desc(op, nullptr);

    auto* input = engine_->GetITensor(op_desc.Input("X")[0]);
    auto out_dtype = PADDLE_GET_CONST(int, op_desc.GetAttr("out_dtype"));

    auto* layer = TRT_ENGINE_ADD_LAYER(engine_, Identity, *input);

    switch (out_dtype) {
      case 0:  // BOOL = 0
        layer->setOutputType(0, nvinfer1::DataType::kBOOL);
        layer->getOutput(0)->setType(nvinfer1::DataType::kBOOL);
        break;
      case 2:  // INT32 = 2
      case 3:  // INT64 = 3 there is no int64 in tensorrt subgraph
        layer->setOutputType(0, nvinfer1::DataType::kINT32);
        layer->getOutput(0)->setType(nvinfer1::DataType::kINT32);
        break;
      case 4:  // FP16 = 4
        layer->setOutputType(0, nvinfer1::DataType::kHALF);
        layer->getOutput(0)->setType(nvinfer1::DataType::kHALF);
        break;
      case 5:  // FP32 = 5
      case 6:  // FP64 = 6
        layer->setOutputType(0, nvinfer1::DataType::kFLOAT);
        layer->getOutput(0)->setType(nvinfer1::DataType::kFLOAT);
        break;
      default:
        LOG(ERROR) << "Unable to convert a fluid data type(" << out_dtype
                   << ") to a nvinfer DataType";
        break;
    }

    auto output_name = op_desc.Output("Out")[0];
    ReplenishLayerAndOutput(layer, "cast", {output_name}, test_mode);
  }
};

}  // namespace paddle::inference::tensorrt

REGISTER_TRT_OP_CONVERTER(cast, CastOpConverter);
